mrm8488's picture
Initial commit from mrm8488
bebf678
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 12.886142983230362,
"global_step": 73000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.09,
"learning_rate": 4.975482985191724e-05,
"loss": 5.0818,
"step": 500
},
{
"epoch": 0.18,
"learning_rate": 4.9509659703834464e-05,
"loss": 4.0909,
"step": 1000
},
{
"epoch": 0.26,
"learning_rate": 4.926448955575169e-05,
"loss": 3.4691,
"step": 1500
},
{
"epoch": 0.35,
"learning_rate": 4.9019319407668926e-05,
"loss": 2.6149,
"step": 2000
},
{
"epoch": 0.44,
"learning_rate": 4.8774149259586154e-05,
"loss": 1.9173,
"step": 2500
},
{
"epoch": 0.53,
"learning_rate": 4.852897911150339e-05,
"loss": 1.5632,
"step": 3000
},
{
"epoch": 0.62,
"learning_rate": 4.8283808963420616e-05,
"loss": 1.4404,
"step": 3500
},
{
"epoch": 0.71,
"learning_rate": 4.8038638815337844e-05,
"loss": 1.3445,
"step": 4000
},
{
"epoch": 0.79,
"learning_rate": 4.779346866725508e-05,
"loss": 1.2212,
"step": 4500
},
{
"epoch": 0.88,
"learning_rate": 4.7548298519172305e-05,
"loss": 1.1768,
"step": 5000
},
{
"epoch": 0.97,
"learning_rate": 4.730312837108954e-05,
"loss": 1.1509,
"step": 5500
},
{
"epoch": 1.06,
"learning_rate": 4.705795822300677e-05,
"loss": 0.9679,
"step": 6000
},
{
"epoch": 1.15,
"learning_rate": 4.6812788074924e-05,
"loss": 0.8976,
"step": 6500
},
{
"epoch": 1.24,
"learning_rate": 4.656761792684123e-05,
"loss": 0.8739,
"step": 7000
},
{
"epoch": 1.32,
"learning_rate": 4.632244777875846e-05,
"loss": 0.8976,
"step": 7500
},
{
"epoch": 1.41,
"learning_rate": 4.607727763067569e-05,
"loss": 0.8516,
"step": 8000
},
{
"epoch": 1.5,
"learning_rate": 4.5832107482592926e-05,
"loss": 0.8655,
"step": 8500
},
{
"epoch": 1.59,
"learning_rate": 4.558693733451015e-05,
"loss": 0.8692,
"step": 9000
},
{
"epoch": 1.68,
"learning_rate": 4.534176718642738e-05,
"loss": 0.8289,
"step": 9500
},
{
"epoch": 1.77,
"learning_rate": 4.5096597038344615e-05,
"loss": 0.8132,
"step": 10000
},
{
"epoch": 1.85,
"learning_rate": 4.485142689026184e-05,
"loss": 0.7894,
"step": 10500
},
{
"epoch": 1.94,
"learning_rate": 4.460625674217908e-05,
"loss": 0.796,
"step": 11000
},
{
"epoch": 2.03,
"learning_rate": 4.4361086594096305e-05,
"loss": 0.7169,
"step": 11500
},
{
"epoch": 2.12,
"learning_rate": 4.411591644601353e-05,
"loss": 0.5873,
"step": 12000
},
{
"epoch": 2.21,
"learning_rate": 4.387074629793077e-05,
"loss": 0.5975,
"step": 12500
},
{
"epoch": 2.29,
"learning_rate": 4.3625576149847994e-05,
"loss": 0.6024,
"step": 13000
},
{
"epoch": 2.38,
"learning_rate": 4.338040600176523e-05,
"loss": 0.5982,
"step": 13500
},
{
"epoch": 2.47,
"learning_rate": 4.3135235853682456e-05,
"loss": 0.6028,
"step": 14000
},
{
"epoch": 2.56,
"learning_rate": 4.2890065705599684e-05,
"loss": 0.6075,
"step": 14500
},
{
"epoch": 2.65,
"learning_rate": 4.264489555751692e-05,
"loss": 0.5916,
"step": 15000
},
{
"epoch": 2.74,
"learning_rate": 4.2399725409434146e-05,
"loss": 0.6201,
"step": 15500
},
{
"epoch": 2.82,
"learning_rate": 4.215455526135138e-05,
"loss": 0.5912,
"step": 16000
},
{
"epoch": 2.91,
"learning_rate": 4.1909385113268615e-05,
"loss": 0.586,
"step": 16500
},
{
"epoch": 3.0,
"learning_rate": 4.1664214965185836e-05,
"loss": 0.6191,
"step": 17000
},
{
"epoch": 3.09,
"learning_rate": 4.141904481710307e-05,
"loss": 0.4129,
"step": 17500
},
{
"epoch": 3.18,
"learning_rate": 4.1173874669020304e-05,
"loss": 0.4322,
"step": 18000
},
{
"epoch": 3.27,
"learning_rate": 4.092870452093753e-05,
"loss": 0.439,
"step": 18500
},
{
"epoch": 3.35,
"learning_rate": 4.0683534372854766e-05,
"loss": 0.4423,
"step": 19000
},
{
"epoch": 3.44,
"learning_rate": 4.0438364224771994e-05,
"loss": 0.4428,
"step": 19500
},
{
"epoch": 3.53,
"learning_rate": 4.019319407668922e-05,
"loss": 0.4441,
"step": 20000
},
{
"epoch": 3.62,
"learning_rate": 3.9948023928606456e-05,
"loss": 0.4499,
"step": 20500
},
{
"epoch": 3.71,
"learning_rate": 3.9702853780523683e-05,
"loss": 0.4561,
"step": 21000
},
{
"epoch": 3.8,
"learning_rate": 3.945768363244092e-05,
"loss": 0.4601,
"step": 21500
},
{
"epoch": 3.88,
"learning_rate": 3.9212513484358145e-05,
"loss": 0.455,
"step": 22000
},
{
"epoch": 3.97,
"learning_rate": 3.896734333627537e-05,
"loss": 0.4718,
"step": 22500
},
{
"epoch": 4.06,
"learning_rate": 3.872217318819261e-05,
"loss": 0.3575,
"step": 23000
},
{
"epoch": 4.15,
"learning_rate": 3.8477003040109835e-05,
"loss": 0.3211,
"step": 23500
},
{
"epoch": 4.24,
"learning_rate": 3.823183289202707e-05,
"loss": 0.3413,
"step": 24000
},
{
"epoch": 4.32,
"learning_rate": 3.7986662743944304e-05,
"loss": 0.3325,
"step": 24500
},
{
"epoch": 4.41,
"learning_rate": 3.7741492595861525e-05,
"loss": 0.3552,
"step": 25000
},
{
"epoch": 4.5,
"learning_rate": 3.749632244777876e-05,
"loss": 0.3475,
"step": 25500
},
{
"epoch": 4.59,
"learning_rate": 3.725115229969599e-05,
"loss": 0.3617,
"step": 26000
},
{
"epoch": 4.68,
"learning_rate": 3.700598215161322e-05,
"loss": 0.3457,
"step": 26500
},
{
"epoch": 4.77,
"learning_rate": 3.6760812003530455e-05,
"loss": 0.3658,
"step": 27000
},
{
"epoch": 4.85,
"learning_rate": 3.651564185544768e-05,
"loss": 0.348,
"step": 27500
},
{
"epoch": 4.94,
"learning_rate": 3.627047170736491e-05,
"loss": 0.3547,
"step": 28000
},
{
"epoch": 5.03,
"learning_rate": 3.6025301559282145e-05,
"loss": 0.3103,
"step": 28500
},
{
"epoch": 5.12,
"learning_rate": 3.578013141119937e-05,
"loss": 0.2441,
"step": 29000
},
{
"epoch": 5.21,
"learning_rate": 3.553496126311661e-05,
"loss": 0.2516,
"step": 29500
},
{
"epoch": 5.3,
"learning_rate": 3.528979111503384e-05,
"loss": 0.261,
"step": 30000
},
{
"epoch": 5.38,
"learning_rate": 3.504462096695106e-05,
"loss": 0.2665,
"step": 30500
},
{
"epoch": 5.47,
"learning_rate": 3.4799450818868296e-05,
"loss": 0.2585,
"step": 31000
},
{
"epoch": 5.56,
"learning_rate": 3.4554280670785524e-05,
"loss": 0.2794,
"step": 31500
},
{
"epoch": 5.65,
"learning_rate": 3.430911052270276e-05,
"loss": 0.2757,
"step": 32000
},
{
"epoch": 5.74,
"learning_rate": 3.406394037461999e-05,
"loss": 0.289,
"step": 32500
},
{
"epoch": 5.83,
"learning_rate": 3.3818770226537214e-05,
"loss": 0.2775,
"step": 33000
},
{
"epoch": 5.91,
"learning_rate": 3.357360007845445e-05,
"loss": 0.282,
"step": 33500
},
{
"epoch": 6.0,
"learning_rate": 3.332842993037168e-05,
"loss": 0.28,
"step": 34000
},
{
"epoch": 6.09,
"learning_rate": 3.308325978228891e-05,
"loss": 0.193,
"step": 34500
},
{
"epoch": 6.18,
"learning_rate": 3.2838089634206144e-05,
"loss": 0.1936,
"step": 35000
},
{
"epoch": 6.27,
"learning_rate": 3.259291948612337e-05,
"loss": 0.2037,
"step": 35500
},
{
"epoch": 6.35,
"learning_rate": 3.23477493380406e-05,
"loss": 0.2154,
"step": 36000
},
{
"epoch": 6.44,
"learning_rate": 3.2102579189957834e-05,
"loss": 0.2103,
"step": 36500
},
{
"epoch": 6.53,
"learning_rate": 3.185740904187506e-05,
"loss": 0.216,
"step": 37000
},
{
"epoch": 6.62,
"learning_rate": 3.1612238893792296e-05,
"loss": 0.2115,
"step": 37500
},
{
"epoch": 6.71,
"learning_rate": 3.1367068745709523e-05,
"loss": 0.226,
"step": 38000
},
{
"epoch": 6.8,
"learning_rate": 3.112189859762675e-05,
"loss": 0.2232,
"step": 38500
},
{
"epoch": 6.88,
"learning_rate": 3.0876728449543985e-05,
"loss": 0.2272,
"step": 39000
},
{
"epoch": 6.97,
"learning_rate": 3.063155830146121e-05,
"loss": 0.2344,
"step": 39500
},
{
"epoch": 7.06,
"learning_rate": 3.0386388153378447e-05,
"loss": 0.1742,
"step": 40000
},
{
"epoch": 7.15,
"learning_rate": 3.014121800529568e-05,
"loss": 0.1587,
"step": 40500
},
{
"epoch": 7.24,
"learning_rate": 2.9896047857212906e-05,
"loss": 0.1653,
"step": 41000
},
{
"epoch": 7.33,
"learning_rate": 2.9650877709130137e-05,
"loss": 0.1679,
"step": 41500
},
{
"epoch": 7.41,
"learning_rate": 2.9405707561047368e-05,
"loss": 0.1728,
"step": 42000
},
{
"epoch": 7.5,
"learning_rate": 2.91605374129646e-05,
"loss": 0.1729,
"step": 42500
},
{
"epoch": 7.59,
"learning_rate": 2.8915367264881833e-05,
"loss": 0.1737,
"step": 43000
},
{
"epoch": 7.68,
"learning_rate": 2.8670197116799058e-05,
"loss": 0.181,
"step": 43500
},
{
"epoch": 7.77,
"learning_rate": 2.842502696871629e-05,
"loss": 0.1771,
"step": 44000
},
{
"epoch": 7.86,
"learning_rate": 2.817985682063352e-05,
"loss": 0.1818,
"step": 44500
},
{
"epoch": 7.94,
"learning_rate": 2.7934686672550754e-05,
"loss": 0.1847,
"step": 45000
},
{
"epoch": 8.03,
"learning_rate": 2.7689516524467985e-05,
"loss": 0.1643,
"step": 45500
},
{
"epoch": 8.12,
"learning_rate": 2.744434637638521e-05,
"loss": 0.1249,
"step": 46000
},
{
"epoch": 8.21,
"learning_rate": 2.7199176228302443e-05,
"loss": 0.1315,
"step": 46500
},
{
"epoch": 8.3,
"learning_rate": 2.6954006080219674e-05,
"loss": 0.1372,
"step": 47000
},
{
"epoch": 8.38,
"learning_rate": 2.6708835932136905e-05,
"loss": 0.1437,
"step": 47500
},
{
"epoch": 8.47,
"learning_rate": 2.6463665784054136e-05,
"loss": 0.1447,
"step": 48000
},
{
"epoch": 8.56,
"learning_rate": 2.6218495635971364e-05,
"loss": 0.1417,
"step": 48500
},
{
"epoch": 8.65,
"learning_rate": 2.5973325487888595e-05,
"loss": 0.1483,
"step": 49000
},
{
"epoch": 8.74,
"learning_rate": 2.5728155339805826e-05,
"loss": 0.1392,
"step": 49500
},
{
"epoch": 8.83,
"learning_rate": 2.5482985191723057e-05,
"loss": 0.1479,
"step": 50000
},
{
"epoch": 8.91,
"learning_rate": 2.5237815043640288e-05,
"loss": 0.1509,
"step": 50500
},
{
"epoch": 9.0,
"learning_rate": 2.499264489555752e-05,
"loss": 0.1498,
"step": 51000
},
{
"epoch": 9.09,
"learning_rate": 2.474747474747475e-05,
"loss": 0.1,
"step": 51500
},
{
"epoch": 9.18,
"learning_rate": 2.4502304599391977e-05,
"loss": 0.1103,
"step": 52000
},
{
"epoch": 9.27,
"learning_rate": 2.4257134451309212e-05,
"loss": 0.1057,
"step": 52500
},
{
"epoch": 9.36,
"learning_rate": 2.401196430322644e-05,
"loss": 0.1201,
"step": 53000
},
{
"epoch": 9.44,
"learning_rate": 2.376679415514367e-05,
"loss": 0.122,
"step": 53500
},
{
"epoch": 9.53,
"learning_rate": 2.35216240070609e-05,
"loss": 0.1172,
"step": 54000
},
{
"epoch": 9.62,
"learning_rate": 2.3276453858978132e-05,
"loss": 0.1173,
"step": 54500
},
{
"epoch": 9.71,
"learning_rate": 2.3031283710895363e-05,
"loss": 0.1149,
"step": 55000
},
{
"epoch": 9.8,
"learning_rate": 2.2786113562812594e-05,
"loss": 0.125,
"step": 55500
},
{
"epoch": 9.89,
"learning_rate": 2.2540943414729822e-05,
"loss": 0.1214,
"step": 56000
},
{
"epoch": 9.97,
"learning_rate": 2.2295773266647056e-05,
"loss": 0.1233,
"step": 56500
},
{
"epoch": 10.06,
"learning_rate": 2.2050603118564284e-05,
"loss": 0.0946,
"step": 57000
},
{
"epoch": 10.15,
"learning_rate": 2.1805432970481515e-05,
"loss": 0.0892,
"step": 57500
},
{
"epoch": 10.24,
"learning_rate": 2.1560262822398746e-05,
"loss": 0.0911,
"step": 58000
},
{
"epoch": 10.33,
"learning_rate": 2.1315092674315977e-05,
"loss": 0.0912,
"step": 58500
},
{
"epoch": 10.41,
"learning_rate": 2.1069922526233208e-05,
"loss": 0.0917,
"step": 59000
},
{
"epoch": 10.5,
"learning_rate": 2.0824752378150436e-05,
"loss": 0.0957,
"step": 59500
},
{
"epoch": 10.59,
"learning_rate": 2.0579582230067666e-05,
"loss": 0.0992,
"step": 60000
},
{
"epoch": 10.68,
"learning_rate": 2.03344120819849e-05,
"loss": 0.0973,
"step": 60500
},
{
"epoch": 10.77,
"learning_rate": 2.008924193390213e-05,
"loss": 0.1042,
"step": 61000
},
{
"epoch": 10.86,
"learning_rate": 1.984407178581936e-05,
"loss": 0.1027,
"step": 61500
},
{
"epoch": 10.94,
"learning_rate": 1.959890163773659e-05,
"loss": 0.1047,
"step": 62000
},
{
"epoch": 11.03,
"learning_rate": 1.935373148965382e-05,
"loss": 0.088,
"step": 62500
},
{
"epoch": 11.12,
"learning_rate": 1.9108561341571052e-05,
"loss": 0.0695,
"step": 63000
},
{
"epoch": 11.21,
"learning_rate": 1.886339119348828e-05,
"loss": 0.0733,
"step": 63500
},
{
"epoch": 11.3,
"learning_rate": 1.861822104540551e-05,
"loss": 0.0727,
"step": 64000
},
{
"epoch": 11.39,
"learning_rate": 1.8373050897322745e-05,
"loss": 0.0784,
"step": 64500
},
{
"epoch": 11.47,
"learning_rate": 1.8127880749239973e-05,
"loss": 0.076,
"step": 65000
},
{
"epoch": 11.56,
"learning_rate": 1.7882710601157204e-05,
"loss": 0.0814,
"step": 65500
},
{
"epoch": 11.65,
"learning_rate": 1.763754045307443e-05,
"loss": 0.0816,
"step": 66000
},
{
"epoch": 11.74,
"learning_rate": 1.7392370304991666e-05,
"loss": 0.0848,
"step": 66500
},
{
"epoch": 11.83,
"learning_rate": 1.7147200156908897e-05,
"loss": 0.0827,
"step": 67000
},
{
"epoch": 11.92,
"learning_rate": 1.6902030008826124e-05,
"loss": 0.0839,
"step": 67500
},
{
"epoch": 12.0,
"learning_rate": 1.6656859860743355e-05,
"loss": 0.0808,
"step": 68000
},
{
"epoch": 12.09,
"learning_rate": 1.641168971266059e-05,
"loss": 0.0545,
"step": 68500
},
{
"epoch": 12.18,
"learning_rate": 1.6166519564577817e-05,
"loss": 0.0593,
"step": 69000
},
{
"epoch": 12.27,
"learning_rate": 1.592134941649505e-05,
"loss": 0.0626,
"step": 69500
},
{
"epoch": 12.36,
"learning_rate": 1.5676179268412276e-05,
"loss": 0.0633,
"step": 70000
},
{
"epoch": 12.44,
"learning_rate": 1.543100912032951e-05,
"loss": 0.0673,
"step": 70500
},
{
"epoch": 12.53,
"learning_rate": 1.5185838972246741e-05,
"loss": 0.0661,
"step": 71000
},
{
"epoch": 12.62,
"learning_rate": 1.4940668824163969e-05,
"loss": 0.067,
"step": 71500
},
{
"epoch": 12.71,
"learning_rate": 1.4695498676081202e-05,
"loss": 0.0691,
"step": 72000
},
{
"epoch": 12.8,
"learning_rate": 1.4450328527998433e-05,
"loss": 0.0674,
"step": 72500
},
{
"epoch": 12.89,
"learning_rate": 1.4205158379915662e-05,
"loss": 0.067,
"step": 73000
}
],
"max_steps": 101970,
"num_train_epochs": 18,
"total_flos": 1.2452822711842406e+17,
"trial_name": null,
"trial_params": null
}